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Date:   Thu, 23 Nov 2006 11:13:35 -0800
Reply-To:   "Dennis G. Fisher, Ph.D." <dfisher@CSULB.EDU>
Sender:   "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:   "Dennis G. Fisher, Ph.D." <dfisher@CSULB.EDU>
Subject:   Re: logistic versus discriminant?
Comments:   To: David L Cassell <davidlcassell@MSN.COM>
In-Reply-To:   <BAY103-F24F7984C069A52D3F2733B0E20@phx.gbl>
Content-Type:   text/plain; charset=ISO-8859-1; format=flowed

I was able to figure out which article he was referring to. It is the following:

Lei, P. W., & Koehly, L. M. (2003). Linear discriminant analysis versus logistic regression: A comparison of classification errors in the two-group case. The Journal of Experimental Education, 71(1), 25-49.

I was able to get it online through another database. Thanks. Dennis Fisher

David L Cassell wrote: > bnz6@CDC.GOV replied: >> Dennis, >> >> There is a nice article that summarizes previous research in this area. >> You can access it here: >> >> http://www.accessmylibrary.com/comsite5/bin/pdinventory.pl?pdlanding=1&r >> eferid=2930&purchase_type=ITM&item_id=0286-20410031 >> >> I hope this helps. >> >> Mark J. Lamias >> SAIC Statistical Consultant >> Office of Informatics >> National Center for Preparedness, Detection, and Control of Infectious >> Diseases >> Coordinating Center for Infectious Diseases >> US Centers for Disease Control and Prevention >> w: (404) 639-6707 >> m: (404) 543-1394 >> >> >> -----Original Message----- >> From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of >> Dennis G. Fisher, Ph.D. >> Sent: Tuesday, November 21, 2006 12:03 PM >> To: SAS-L@LISTSERV.UGA.EDU >> Subject: logistic versus discriminant? >> >> I am working on a proposal and one of my collaborators is making the >> claim that if the predictor variables are normally distributed, >> continuous etc. then it is better to use discriminant function analysis >> because it has more power. I have never heard this before and am >> wondering if it is true and what citations would back up this claim. I >> am also having some difficulty understanding what power means in this >> comparison. TIA >> >> Dennis Fisher > > Unfortunately, you may not be able to get to that URL. It > requires specific access rights. > > HTH, > David > -- > David L. Cassell > mathematical statistician > Design Pathways > 3115 NW Norwood Pl. > Corvallis OR 97330 > > _________________________________________________________________ > Get free, personalized commercial-free online radio with MSN Radio > powered > by Pandora http://radio.msn.com/?icid=T002MSN03A07001 > >


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